Evidence map›Paper›PMID 30556413›Full record

ArticleClinical nursing research2020

Adapting Project RED to Skilled Nursing Facilities.

Lori L Popejoy, Amy A Vogelsmeier, Bonnie J Wakefield, Colleen M Galambos, Alexandria M Lewis, Diane Huneke, David R Mehr

Abstract read
In one paragraph

Article in Clinical nursing research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lori L PopejoyUniversity of Missouri, Columbia, USA.ORCID 0000-0002-3701-7231
Amy A VogelsmeierUniversity of Missouri, Columbia, USA.
Bonnie J WakefieldUniversity of Missouri, Columbia, USA.
Colleen M GalambosHelen Bader School of Social Work, Milwaukee, WI, USA.
Alexandria M LewisUniversity of Missouri, Columbia, USA.
Diane HunekeFamily Health Center, Columbia, MO, USA.
David R MehrUniversity of Missouri, Columbia, USA.ORCID 0000-0002-5194-1383

Funding

Building Patient Centered Outcomes Research Capacity: Care TransitionsR24HS022140 · AHRQ · UNIVERSITY OF MISSOURI-COLUMBIA · PI MEHR, DAVID R · 2013 to 2017
$4.5M
AHRQ HHS R24 HS022140
6 · The paper itself

Abstract

This article describes our recommendation for adapting hospital-based RED (Reengineered Discharge) processes to skilled nursing facilities (SNFs). Using focus groups, the SNFs' discharge processes were assessed twice additionally, research staff then recorded field notes documenting discussions about facility discharge processes as they related to RED processes. Data were systematically analyzed using thematic analysis to identify recommendations for adapting RED to the SNF setting including (a) rapidly identifying, involving, and preparing family/caregivers to implement a patient focused SNF discharge plan; (b) reconnecting patients quickly to primary care providers; and (c) educating patients at discharge about their target health condition, medications, and impact of changes on other chronic health needs. Limited SNF staff capacity and corporate-level policies limited adoption of some key RED components. Transitional care processes such as RED, developed to avoid discharge problems, can be adapted for SNFs to improve their discharges.

Indexed as

Health Plan ImplementationPatient DischargeSkilled Nursing FacilitiesTransitional CareAgedCaregiversFemaleFocus GroupsHealth PersonnelHumansMalecommunity caredischarge planninginterdisciplinary teamprimary careProject Reengineered DischargeREDskilled nursingtransitional care

Identifiers

PMID30556413
PMCPMC7008496

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.